Development of self-organization algorithms for navigation systems correction

Authors: Zhao Yang, Shen Xin
Published in issue: #10(39)/2019
DOI: 10.18698/2541-8009-2019-10-538
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing, Statistics
Keywords: aircraft, inertial navigation system, self-organization algorithm, navigation system errors, correction scheme, system, mathematical modeling, Kalman filter
Published: 15.10.2019

Aircraft are controlled based on information received from navigation systems. Navigation systems have a variety of errors due to design features and operating conditions. The features of all three different inertial navigation system (INS) correction schemes are studied using the mathematical modeling algorithm. The self-organization method allows one to build a predictive model of INS errors. The model is built on the interval of the corrected INS operation. On the interval of autonomous INS operation, using this model, the INS errors and correction in the system output information are forecasted. After restoration of the GPS measurement signal, the INS correction is performed again using the Kalman filter.

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